Package: blapsr Type: Package Title: Bayesian Inference with Laplace Approximations and P-Splines Version: 0.6.1 Depends: R (>= 3.6.0), survival (>= 2.44.1) Authors@R: c(person("Oswaldo","Gressani", email="oswaldo_gressani@hotmail.fr", role=c("aut","cre"), comment = "Author"), person("Philippe", "Lambert", email="p.lambert@uliege.be", role=c("aut", "ths"), comment = "Co-author and thesis advisor")) Maintainer: Oswaldo Gressani Description: Laplace approximations and penalized B-splines are combined for fast Bayesian inference in latent Gaussian models. The routines can be used to fit survival models, especially proportional hazards and promotion time cure models (Gressani, O. and Lambert, P. (2018) ). The Laplace-P-spline methodology can also be implemented for inference in (generalized) additive models (Gressani, O. and Lambert, P. (2021) ). See the associated website for more information and examples. URL: License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.1 Imports: coda (>= 0.19.3), graphics(>= 3.6.0), MASS (>= 7.3.51), Matrix (>= 1.2.17), RSpectra (>= 0.16.0), sn (>= 1.5.4), stats, utils (>= 3.6.0) Suggests: knitr (>= 1.26), rmarkdown (>= 1.14), testthat (>= 2.3.1) VignetteBuilder: knitr NeedsCompilation: no Packaged: 2022-08-20 12:47:40 UTC; Oswaldo1989 Author: Oswaldo Gressani [aut, cre] (Author), Philippe Lambert [aut, ths] (Co-author and thesis advisor) Repository: CRAN Date/Publication: 2022-08-20 13:10:02 UTC